Abstract: An additive manufacturing device includes a build platform. A recoater is operatively connected to the build platform to move relative to the build platform to coat unfused powder onto a build on the build platform. The recoater includes a recoater mount defining a length-wise receptacle therein, and a recoater blade seated in the receptacle. A blade reel system is operatively connected to the recoater to replace the recoater blade in the receptacle during a build on the build platform.

Abstract: Systems and methods for intelligent data center power management and energy market disaster recovery comprised of data collection layer, infrastructure elements, application elements, power elements, virtual machine elements, analytics/automation/actions layer, analytics or predictive analytics engine, automation software, actions software, energy markets analysis layer and software and intelligent energy market analysis elements or software. Plurality of data centers employ the systems and methods comprised of a plurality of Tier 2 data centers that may be running applications, virtual machines and physical computer systems to enable data center and application disaster recovery from utility energy market outages.

Abstract: Disclosed herein are techniques for analyzing hardware change impacts based on at least one functional line-of-code behavior and relation model. Techniques include identifying a new hardware component associated with a system; accessing a first line-of-code behavior and relation model representing execution of functions using the new hardware component; accessing a second line-of-code behavior and relation model representing execution of functions on a previous hardware component of the system; performing a functional differential comparison of the first line-of-code behavior and relation model to the second line-of-code behavior and relation model; determining, based on the functional differential comparison, a status of functional equivalence between the new hardware component and the previous hardware component; and generating, based on the determined difference, a report identifying the status of functional equivalence.

Abstract: A method includes accessing a schema that specifies relationships among datasets, computations on the datasets, or transformations of the datasets, selecting a dataset from among the datasets, and identifying, from the schema, other datasets that are related to the selected dataset. Attributes of the datasets are identified, and logical data representing the identified attributes and relationships among the attributes is generated. The logical data is provided to a development environment, which provides access to portions of the logical data representing the identified attributes. A specification that specifies at least one of the identified attributes in performing an operation is received from the development environment.

Abstract: Methods and devices for usage profile based remote firmware upgrades for fire alarm system gateways are described herein. A method, includes creating a firmware upgrade package for a number of gateways of a number of fire alarm systems wherein each gateway has gateway operating firmware, panel connectivity firmware, and management firmware and wherein the firmware upgrade package has multiple parts, creating a firmware upgrade profile having information indicating the applicability of each of the multiple parts of the firmware upgrade package to one of the gateway operating firmware, panel connectivity firmware, and management firmware, comparing the firmware upgrade profile to a gateway usage profile of a particular gateway wherein the gateway usage profile contains information indicating usage characteristics for the gateway operating firmware, panel connectivity firmware, and management firmware, and selecting one or more of the multiple parts of the firmware upgrade package to download.

Abstract: In some examples, thermal aware optimization logic determines a characteristic (e.g., a workload or type) of a wavefront (e.g., multiple threads). For example, the characteristic indicates whether the wavefront is compute intensive, memory intensive, mixed, and/or another type of wavefront. The thermal aware optimization logic determines temperature information for one or more compute units (CUs) in one or more processing cores. The temperature information includes predictive thermal information indicating expected temperatures corresponding to the one or more CUs and historical thermal information indicating current or past thermal temperatures of at least a portion of a graphics processing unit (GPU). The logic selects the one or more compute units to process the plurality of threads based on the determined characteristic and the temperature information. The logic provides instructions to the selected subset of the plurality of CUs to execute the wavefront.

Abstract: A system and related method for change management at login. The method includes constructing an administratively prescribed target data store as a function of received administrative input prescribing a target feature and target feature-state, and related messages to push to a user upon occurrences of target feature mismatches and matches. Login information, including a username identifier, service provider identifier, and current use time-stamp are received for a user. A historical data store is queried to obtain a user status that associates the username identifier and the service provider identifier with a previously used feature, feature-state and a previous use time-stamp. The target data store is queried for the service provider. Determinations are made as to whether previous feature use matches target feature use. Messages are displayed responsive thereto.

Abstract: This document describes a framework for measuring and improving the performance of applications, such as distributed applications and web applications. In one aspect, a method includes performing a test on an application. The test includes executing the application on one or more computers and, while executing the application, simulating a set of workload scenarios for which performance of the application is measured during the test. While performing the test, a set of performance metrics that indicate performance of individual components involved in executing the application during the test is obtained. A knowledge graph is queried using the set of performance metrics. The knowledge graph links the individual components to corresponding performance metrics and defines a set of hotspot conditions that are each based on one or more of the corresponding performance metrics for the individual components. A given hotspot condition is detected based on the set of performance metrics.

Abstract: Embodiments are generally directed to thread group scheduling for graphics processing. An embodiment of an apparatus includes a plurality of processors including a plurality of graphics processors to process data; a memory; and one or more caches for storage of data for the plurality of graphics processors, wherein the one or more processors are to schedule a plurality of groups of threads for processing by the plurality of graphics processors, the scheduling of the plurality of groups of threads including the plurality of processors to apply a bias for scheduling the plurality of groups of threads according to a cache locality for the one or more caches.

Abstract: Embodiments include implementing an iterative process to automatically develop a chatbot conversation for a conversation designer by receiving a conversation design input of one or more conversation design inputs from the conversation designer, identifying an intent based on the conversation design input, generating a development event based on the intent, retrieving a conversation chat flow from a set of conversation chat flows of a code sheet based on the development event, the code sheet comprising a set of conversations, the set of conversation chat flows, and a set of rules for code retrieval based on the set of conversations and the set of conversation chat flows, retrieving a chatbot computer program code based on the conversation chat flow and the set of rules from the code sheet, and repeating the iterative process until the chatbot computer program code is automatically retrieved from a code repository for each conversation design input.

Abstract: A system for detecting malware includes a processor to collect processor trace information corresponding to an application being executed by the processor (202). The processor can also detect an invalid indirect branch instruction from the processor trace information (204) and detect at least one malware instruction being executed by the application in response to analyzing modified memory values corresponding to the invalid indirect branch (206). Additionally, the processor can block the application from accessing or modifying memory (208).

Abstract: The present invention relates to a smart home controller refrigerator and a control method therefor, the smart home controller refrigerator, according to one embodiment of the present invention, comprising: a control unit comprising a control protocol communication unit for receiving control information for controlling a home appliance in a home, an operation protocol communication unit for generating an operation signal calculated from the control information, and a signal transmission unit for transmitting the operation signal to the home appliance; at least one storage space; and at least one door for controlling the opening/closing of the at least one storage space.

Abstract: An example method is provided for recommending VM configurations, including one or more servers upon which one or more VMs can run. A user wishing to run these VMs can request a recommendation for an appropriate server or set of servers. The user can indicate a category corresponding to the type of workload that pertains to the VMs. The system can receive the request and identify a pool of servers available to the user. Using industry specifications and benchmarks, the system can classify the available servers into multiple categories. Within those categories, similar servers can be clustered and then ranked based on their levels of optimization. The sorted results can be displayed to the user, who can select a particular server (or group of servers) and customize the deployment as needed. This process allows a user to identify and select an optimized setup quickly and accurately.

Abstract: Various techniques and systems are described herein for providing a multi-input form using a code editor. In various examples, an application programming interface (API) of the code editor used to generate software extensions may be identified. A library may be imported into the API. The library may be configured to implement WebView content within the code editor. One or more commands may be generated using at least one object defined in the library. The one or more commands may define a plurality of input fields to be displayed in the WebView content to a user invoking the API. In various examples, an invocation of the API may be received and the WebView content comprising the plurality of input fields may be displayed.

Abstract: A method, system, and computer program product for implementing machine learning visual code and action generation is provided. The method includes receiving from a plurality of hardware and software sources, digital description data associated with visual presentations and an action for execution. A resulting code-based class for each portion of the digital description data is generated with respect to the visual presentation. Self learning software code is executed and a type of visual presentation is selected with respect to associated visual features and the code-based class. Additionally, a visual presentation is selected and an action is executed resulting in hardware and software of a server hardware device being operationally modified. The visual presentation is presented to a user.

Abstract: Techniques are described herein for providing adaptable testing and benchmarking of user experiences with respect to one or more products. In some embodiments, the techniques include systems and methods for predicting performance of facets of a user experience under new testing and benchmarking methodologies. The systems and methods may generate a prediction for the results of a UX test even though the methodology and mechanics to quantify the user experience may vary significantly from previous methodologies. The techniques allow for methodologies to evolve over time without losing historical context or the ability to meaningfully compare historical test results with tests run using updated testing and benchmark models. Further, the techniques allow for benchmarks to be computed in real-time or near real-time as methodologies change without requiring tests to be run according to the new methodologies.

Abstract: Systems and methods for establishing relationships between building automation system components and controlling building automation system components. Data for a building automation system components may be received from the building automation system components and one or more models may be applied to the received data to determine types of the building automation system components and relationships between building automation system components. Once the types of building automation system components have been determined or identified, uniform names may be applied to the building automation system components. The received data may include, among other data, naming data and telemetry data from the building automation system components.

Abstract: Systems, methods, and apparatuses for controlling electrically-powered trash receptacles and monitoring fullness levels. The system can include a storage enclosure and a bin contained inside the storage enclosure, the bin configured to receive and store items deposited in the storage enclosure, wherein an inside portion of the bin is at least partially covered by a bag placed inside the bin to hold the items deposited in the storage enclosure. The system can also include a sensor configured to sense a content fullness state of the bin and a processor configured to control operations performed by the sensor. In addition, the system can include a sleeve configured to be installed over an inside portion of the bin and the bag, the sleeve at least partially restricting a movement of the bag.

Abstract: An exemplary embodiment of the present disclosure discloses a method of setting a model threshold value for detecting an anomaly of a facility monitoring system, the method including: acquiring sensor data output from each sensor; extracting a feature value for the sensor data of each sensor; acquiring output data by inputting input data including the extracted feature value to a trained neural network model; and comparing the input data and the output data and setting a threshold value for detecting an anomaly based on a calculated comparison result value.

Abstract: An industrial monitoring system comprises a monitoring device attached to an industrial device by a bond. Sensor data collected by the monitoring device during a commissioning period is received and used to train a machine learning model. Subsequent to the commissioning period, additional sensor data is collected by the monitoring device. An abnormal state of the bond between the monitoring device and industrial device is determined based on the additional sensor data and a characteristic inferred by the trained machine learning model. A notification of the abnormal state is generated.